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Tunis (někdy také Túnis) je hlavním městem Tuniska. Ve městě žije přibližně 603 tisíc obyvatel a v celé aglomeraci to je asi 2,5 milionu obyvatel.
The analysis highlights Historie města, Partnerská města and Slavní rodáci as prominent areas in the source structure around Tunis.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Tunis shows recurring relationship patterns in the source. For example, Tunis → Aghlabidů, Aghlabovců, Almohadů, Byzantská, Chavsidů, Ez Zitouna, Féničané, Habsburského, Ifrīqiyas, Invaze Arabů, Islámské, Jeho, Karla, Kartágo, Libyjci, Ludvík IX, Maghrebu, Numidové, Od, Osmanské Another extracted example is Tunis → Cardinalová, Chaldún, Delanoë, Gicquel, Mebazá, Paříže, TuniskaNicola Pietrangeli, Viktor, Wolinski. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
století město roce města tuniska 48 př zde hlavním městem tunisko mešita 10 commons obyvatel název féničané okolo jako roku
TTTA extracted 89 structured relationships around Tunis. Examples in this analysis include Tunis → Guvernorát → Tunis and Tunis → Hustota zalidnění → 2 828,9 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Tunis | Guvernorát | Tunis | 1.00 | infobox |
| Tunis | Hustota zalidnění | 2 828,9 obyv./km² | 1.00 | infobox |
| Tunis | Kritérium | ii, iii, v | 1.00 | infobox |
| Tunis | Nadmořská výška | 4 m n. m. | 1.00 | infobox |
| Tunis | Název lokality | Medína v Tunisu | 1.00 | infobox |
| Tunis | Odkaz | 35 (anglicky) | 1.00 | infobox |
| Tunis | Oficiální web | www.commune-tunis.gov.tn | 1.00 | infobox |
| Tunis | Počet obyvatel | 602 560 (2022) | 1.00 | infobox |
| Tunis | PSČ | 1000 | 1.00 | infobox |
| Tunis | Rozloha | 213 km² | 1.00 | infobox |
| Tunis | Souřadnice | 36°48′ s. š., 10°10′48″ v. d. | 1.00 | infobox |
| Tunis | Starosta | Seifallah Lasram | 1.00 | infobox |
| Tunis | Status | hlavní město | 1.00 | infobox |
| Tunis | Stát | Tunisko Tunisko | 1.00 | infobox |
| Tunis | Telefonní předvolba | 71 | 1.00 | infobox |
| Tunis | Typ | kulturní dědictví | 1.00 | infobox |
| Tunis | Vznik | 2. tisíciletí př. n. l. | 1.00 | infobox |
| Tunis | Zakladatel | Berbeři, Féničané | 1.00 | infobox |
| Tunis | Zařazení | 1979 (3. zasedání) | 1.00 | infobox |
| Tunis | Časové pásmo | středoevropský čas (UTC+1) | 1.00 | infobox |
The concept neighborhoods around Tunis bring nearby vocabulary together. In this analysis, examples include Tuniska, Hlavním and Městem. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Tunis, one of the stronger structural bridges in this analysis connects Tunis with Partnerská města. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Tunis to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie města, Partnerská města & Slavní rodáci, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Tunis · CS edition · Analysis: TopicsToTalkAbout